This repository serves as a learning project to create and deploy multiple microservices using different technologies and languages, with a focus on enabling communication between them.
TLDR; There will be A LOT of overengineering, but that's the point. The goal is to learn and experiment with different technologies and patterns, not to create a production-ready application.
| Service Name | Responsability | Description | Language | Framework | Ports |
|---|---|---|---|---|---|
| Helium | User authentication management | Helium is lightweight and foundational, just like authentication, which provides the basis for all interactions. | Go | Fiber | 8080 (HTTP), 50050 (gRPC) |
| Carbon | User scoring and evaluation | Carbon is a fundamental building block, symbolizing the core calculations and essential scoring functions. | Java | Spring Boot | 8081 (HTTP) |
| Oxygen | Loan operations and servicing | Oxygen is life-sustaining, representing the essential and enabling nature of loans in fostering growth and support. | C# | .NET | 8082 (HTTP) |
- Docker: Containerization platform
- Docker Compose: Orchestration tool for managing multi-container Docker applications
- PostgreSQL: Database for storing application data
- RabbitMQ: Message broker for asynchronous communication between microservices
This project is a learning experience where I explore different technologies and patterns. Here's a breakdown of the key decisions:
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Go & Fiber: Go is a fast, lightweight language I’ve been learning and experimenting with. It’s ideal for microservices, and its rich ecosystem simplifies development. For the authentication service, I paired it with Fiber, a minimalistic, high-performance web framework, to ensure a fast and efficient implementation.
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Java & Spring Boot: Leveraging my experience with Java, I chose it for the Scorer service, particularly for interacting with RabbitMQ, as its official client is written in Java. Spring Boot was a natural fit for its extensive ecosystem, making API development and queue consumption seamless.
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C# & .NET: As one of my favorite languages, C# was my choice for the Loan service. .NET complements it perfectly for building robust APIs.
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PostgreSQL: I selected PostgreSQL for its popularity, reliability, and familiarity. It serves as the relational database for the project.
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RabbitMQ: For asynchronous communication between services, RabbitMQ was an easy choice due to its simplicity and Docker-friendly setup.
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Nginx: Nginx acts as a reverse proxy and load balancer, allowing me to experiment with API gateway patterns and manage service routing efficiently.
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Docker: Docker is my go-to tool for containerization, streamlining the orchestration of the entire system and enabling smooth integration of all components.
Make sure you have installed:
- Docker
- Docker Compose
- .NET SDK
- Node.js
To run the project, first you need to have Docker and Docker Compose installed on your machine. Then, follow these steps:
- Clone the repository:
git clone https://github.com/Sn0wye/whatisthis
# OR
gh repo clone Sn0wye/whatisthis- Navigate to the project directory:
cd whatisthis- Start the project:
make startThe required databases and queues will be created, and the services will be started.